YING CUI

My research focuses on the mathematical foundation of data science with emphasis on optimization techniques for operations research, machine learning and statistical estimations. This includes optimization models and computational methods for decision making under uncertainty, variational analysis for nonsmooth and/or semidefinite optimization, as well as efficient algorithms for stochastic programming and modern nonconvex optimization problems. 

I serve as an associate editor for Mathematical Programming, and the vice chair of Nonlinear Optimization for INFORMS Optimization Society.

Education:

Ph.D., Mathematics, National University of Singapore, Singapore

B.Sc., Mathematics, Zhejiang University, China

Honors and Awards:

Mathematical Programming Meritorious Service Award, 2023

Finalist (as the faculty advisor), Dupacova-Prekopa Best Student Paper Prize in Stochastic Programming, 2023

Third Place, INFORMS Junior Faculty Interest Group (JFIG) Paper Prize, 2022

NSF CISE Research Initiation Initiative (CRII) Award, 2022

Best Problem-Driven Analytical Research Paper Award, 2021

First Place in Best Paper Competition, Post-Pandemic Supply Chain and Healthcare Management Conference, 2021

Runner-up of the POMS HOCM Best Paper Award, 2021

Louis Chen Hsiao Yun Best Dissertation Prize, National University of Singapore, 2016

Outstanding Graduate in Zhejiang Province, 2011

National Scholarship, 2010